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Data Team Lead
2 weeks ago
The Data Team Lead is responsible for overseeing the management of day-to-day activities for a sub-team of managed investment data that powers Morningstar products and platforms. This role requires close collaboration with Global Process Owners, MID Data Leaders, and Global Data Director to ensure agreed deliverables are met and the team is equipped with training and documentation.
About Us
Morningstar is an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Our hybrid work environment allows you to work remotely and collaborate in-person each week. We're committed to enhancing flexibility as needs change, providing tools and resources to engage meaningfully with your global colleagues.
Key Responsibilities
- Assist in managing and developing a team of 10+ Data Research Analysts by providing clear direction, establishing SMART goals, and optimizing resource allocation for processes/projects.
- Work closely with multiple global teams and across various functions, participating regularly in global calls and meetings.
- Identify and eliminate roadblocks by partnering with technology teams and other database teams.
- Research complex projects leading to actionable recommendations and solutions.
- Promote LEAN Six Sigma tools and methodologies as an analyst framework for assessing the root cause of issues and improving processes.
- Ensure appropriate methods and techniques to improve and maintain the highest quality standards in the data collected by the team.
Requirements
This role requires:
- A Bachelor's or Master's degree in finance/business with an exceptional academic record.
- BASIC knowledge of Python and SQL.
- A Professional degree (CA, CA-Inter, ICWA, ICWA-Inter) is preferred.
- At least 5 years of professional work experience at various levels of seniority.
- Strong people and project management skills.
- Ability to effectively communicate with local and international teams.
- Proven experience optimizing processes.
Competencies
The ideal candidate will possess:
- Attention to detail.
- Methodical problem-solving skills.
- Analytical skills (interpretation of data and analytics in an operations environment).
- Excellent organization skills (email, task management, follow-up).
- Self-motivation.
- Ability to motivate and build relationships with others.
- Ability to take and give direction & criticism.
- Willingness to work with and develop team members.
- Goal-oriented behavior.
- Honesty and integrity.